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Protein Conformational Dynamics

Overview of attention for book
Cover of 'Protein Conformational Dynamics'

Table of Contents

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    Book Overview
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    Chapter 1 Protein Folding Simulations by Generalized-Ensemble Algorithms
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    Chapter 2 Application of Markov State Models to Simulate Long Timescale Dynamics of Biological Macromolecules
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    Chapter 3 Understanding Protein Dynamics Using Conformational Ensembles
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    Chapter 4 Protein Conformational Dynamics
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    Chapter 5 Generalized Spring Tensor Models for Protein Fluctuation Dynamics and Conformation Changes
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    Chapter 6 The Joys and Perils of Flexible Fitting
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    Chapter 7 Coarse-Grained Models of the Proteins Backbone Conformational Dynamics
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    Chapter 8 Simulating Protein Folding in Different Environmental Conditions
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    Chapter 9 Simulating the Peptide Folding Kinetic Related Spectra Based on the Markov State Model
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    Chapter 10 The Dilemma of Conformational Dynamics in Enzyme Catalysis: Perspectives from Theory and Experiment
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    Chapter 11 Exploiting Protein Intrinsic Flexibility in Drug Design
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    Chapter 12 NMR and Computational Methods in the Structural and Dynamic Characterization of Ligand-Receptor Interactions
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    Chapter 13 Molecular Dynamics Simulation of Membrane Proteins
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    Chapter 14 Free-Energy Landscape of Intrinsically Disordered Proteins Investigated by All-Atom Multicanonical Molecular Dynamics
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    Chapter 15 Coordination and Control Inside Simple Biomolecular Machines
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    Chapter 16 Multi-state Targeting Machinery Govern the Fidelity and Efficiency of Protein Localization
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    Chapter 17 Molecular Dynamics Simulations of F1-ATPase.
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    Chapter 18 Chemosensorial G-proteins-Coupled Receptors: A Perspective from Computational Methods
Attention for Chapter 15: Coordination and Control Inside Simple Biomolecular Machines
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Chapter title
Coordination and Control Inside Simple Biomolecular Machines
Chapter number 15
Book title
Protein Conformational Dynamics
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-3-319-02970-2_15
Pubmed ID
Book ISBNs
978-3-31-902969-6, 978-3-31-902970-2
Authors

Jin Yu, Yu, Jin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Chemical Engineering 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Computer Science 1 17%
Physics and Astronomy 1 17%
Chemistry 1 17%
Other 0 0%
Unknown 1 17%